class_docstr: This class tests the ensemble classifier.
class_docstr_tok: ["This","class","tests","the","ensemble","classifier","."]
code: def test_repr(self):
      repr_ = repr(self.ensemble)
      self.assertIn(
          "art.estimators.classification.ensemble.EnsembleClassifier",
          repr_,
      )
      self.assertIn("classifier_weights=array([0.5, 0.5])", repr_)
      self.assertIn(
          "channels_first=False, clip_values=array([0., 1.], dtype=float32), "
          "preprocessing_defences=None, postprocessing_defences=None, preprocessing=StandardisationMeanStd(mean=0.0, "
          "std=1.0, apply_fit=True, apply_predict=True)",
          repr_,
      )
  
file_path: adversarial-robustness-toolbox/tests/estimators/classification/test_ensemble.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import keras.backend
  import numpy
  from art.estimators.classification.ensemble import EnsembleClassifier
  from tests.utils import TestBase, get_image_classifier_kr
label_desc: Use image node_id 9 for calling the TestEnsembleClassifier obj's underlying member method code with example usage: obj.test_repr() without return types